The habitat suitability model generated in Maxent showed extensively areas that are suitable in climatic terms for this species in almost all tropical Colombia. Areas west of the Andes are not known to be occupied by this curassow and were excluded from its potential distribution map. Additionally, there is a vast area in the Orinoco region predicted by our model as marginally suitable, from where there are no records at all and which is suspected this species does not occupy. Similarly, this area was not included in our final potential distribution map but was highlighted separately.
Assuming that the distribution of the species may have filled the complete climatic model generated in the Colombian Amazon, its potential distribution today in remnants of forest is about 474,452 km2, which corresponds to a loss of 9 % of its potential original distribution in the region due to deforestation.
Regularized training gain is 0.206, training AUC is 0.781, unregularized training gain is 0.375.
Algorithm converged after 80 iterations (0 seconds).
The follow settings were used during the run:
6 presence records used for training.
10006 points used to determine the Maxent distribution (background points and presence points).
Environmental layers used (all continuous): bio10co bio11co bio12co bio13co bio14co bio15co bio16co bio17co bio18co bio19co bio1co bio2co bio3co bio4co bio5co bio6co bio7co bio8co bio9co
Regularization values: linear/quadratic/product: 1.000, categorical: 0.560, threshold: 1.940, hinge: 0.500
Feature types used: linear
'Equal Training Sensitivity and Specificity' and 'Equate Entropy of Thresholded and Original Distributions' thresholds and omission rates:
0.276-0.814-Fractional predicted area
0.333-0-Training omission rate